MLOps.community

MLOps as Tool to Shape Team and Culture // Ciro Greco // MLOps Coffee Sessions #95

Apr 25, 2022

43:04

Creator website

Highlights

AI Chapters

Episode notes

Is It Easier Than You Think?

02:03

Having Good Models Is Very Important for Your Business.

02:42

Machine Learning Engineers - What Do They Focus On?

02:37

Introduction

2min

A YES, So It Was Cut.

3min

The Dreams Are Made of a Few Dollars in Your Pocket

2min

What's the Story of Aa Covio?

2min

Machine Learning Is Getting More Important Than the Acquisition of Tuces Commerce

3min

Bringing Coherence to Machine Learning

2min

Do You Know How to Integrate Customer Service?

2min

Having Good Models Is Very Important for Your Business.

3min

Data Warehouses

2min

10.

Machine Learning Engineers - What Do They Focus On?

3min

11.

Can We Standardize the Tooling Buster?

3min

12.

Is There Any Pain With Yakobo?

2min

13.

Is There a Future for Distributed Computing?

3min

14.

Is It Easier Than You Think?

2min

15.

How to Build a Product That Scales Against Hord?

3min

16.

How to Sharpen the Sword?

2min

17.

How Did You Attract Machine Learning Engineers?

2min

18.

The Second Layer Is the Organization

3min

MLOps Coffee Sessions #95 with Ciro Greco, MLOps as Tool to Shape Team and Culture.

// Abstract
Good MLOps practices are a way to operationalize a more “vertical” practice and blur the boundaries between different stages of “production-ready”. Sometimes you have this idea that production-ready means global availability but with ML products that need to be constantly tested against real-world data, we believe production-ready should be a continuum and that the key person that drives that needs to be the data scientist or the ML engineer.

// Bio
Ciro Greco, VP of AI at Coveo. Ph.D. in Linguistics and Cognitive Neuroscience at Milano-Bicocca. Ciro worked as visiting scholar at MIT and as a post-doctoral fellow at Ghent University.

In 2017, Ciro founded Tooso.ai, a San Francisco-based startup specializing in Information Retrieval and Natural Language Processing. Tooso was acquired by Coveo in 2019. Since then Ciro has been helping Coveo with DataOps and MLOps throughout the turbulent road to IPO.

// MLOps Jobs board
https://mlops.pallet.xyz/jobs

// Related Links
Company Website
psicologia.unimib.it/03_persone/scheda_personale.php?personId=518
gist.ugent.be/members

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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/
Connect with Ciro on LinkedIn: https://www.linkedin.com/in/cirogreco/en

Timestamps:
[00:00] Introduction to Ciro Greco
[02:32] Ciro's bridge to Coveo
[07:15] Coveo in a nutshell
[11:30] Confronting disorganization and challenges
[16:08] Fundamentals of use cases
[18:09] Immutable data in the data warehouse
[21:36] Data management in Coveo
[24:48] Pain for advancement
[29:56] Rational process and Stack
[32:24] Habits of high-performing ML Engineers
[35:46] Sharpening the sword
[37:50] Attracting talents vs firing people
[42:18] Wrap up